Two-way sync
Changes in Google Cloud Platform or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and IBM AS/400 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want IBM AS/400's rows in Google Cloud Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in IBM AS/400 where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in IBM AS/400 sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into IBM AS/400, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Google Cloud Platform sync into IBM AS/400, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Google Cloud Platform and keep IBM AS/400 focused on its operational workload.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Google Cloud Platform objects | IBM AS/400 objects | |
|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Libraries The schema-equivalent containers that scope which files a sync reads. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Rows / records The unit of read and write, accessed via SQL or record-level access. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Journals and journal receivers The change log that enables log-based CDC on journaled files. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–IBM AS/400 connection.
Changes in Google Cloud Platform or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or IBM AS/400 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or IBM AS/400 record.
Track your Google Cloud Platform ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and IBM AS/400.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Google Cloud Platform and IBM AS/400 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Google Cloud Platform and IBM AS/400 objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud Platform and IBM AS/400: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and IBM AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and IBM AS/400. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. On IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Platform side: Pub/Sub topics, Firestore documents, Spanner tables, BigQuery datasets, plus custom fields where Google Cloud Platform exposes them. On the IBM AS/400 side: Logical files (views), Members, Rows / records, Journals and journal receivers. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Google Cloud Platform and IBM AS/400.